Our goal : Investigate how/if selected global socio-economic factors are correlated with the spread of Covid-19
photo from::https://sdbi.in/artificial-intelligence-and-big-data-to-control-covid-19"
10 May, 2021
Our goal : Investigate how/if selected global socio-economic factors are correlated with the spread of Covid-19
photo from::https://sdbi.in/artificial-intelligence-and-big-data-to-control-covid-19"
Data sets used in this project:
Cleaning: Issues with dataset:
Augmentation:
Initial exploratory data analysis (eda)
Modelling:
Exploring Covid “waves” and case fatality
PCA done on continous socio-economic features
Deaths as Function of Population % above 65 years and Population % living in urban areas.
Significant slopes
What is a good criteria for a wave?
Do Covid-19 waves appear to be synchronized in different countries?
In general from eda and linear regression, data suggests that more developed countries are hit “harder” by Covid-19.
Things to note
Could the large co-occurrence of waves in ‘Europe and central Asia’ be due to socio-economic factors?
https://christianjohansen.shinyapps.io/covid-19_app/